This new edition provides a comprehensive, colorful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption.

eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

FEATURES:

• Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP

• Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations

• Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest

• Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications

• Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises

• Includes DVD with resources, simulations, and figures from the book

• Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.

About the Authors

Stephen Lucci holds a Ph.D. from the CUNY Graduate School and currently teaches computer science at The City College of New York. Dr. Lucci has published in the areas of high-performance computing and artificial intelligence.

Danny Kopec (Late) taught at Brooklyn College. He authored several books and journal articles and was an International Chess Master.

"About this title" may belong to another edition of this title.

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